Method and device for predicting productivity of offshore gas well, electronic equipment and storage medium

Abstract

The invention discloses a productivity prediction method and device for an offshore gas well, electronic equipment and a storage medium. The method comprises the following steps: displaying a productivity prediction page, wherein the productivity prediction page comprises a gas well data display area, an operation control area and a result display area; in response to a data configuration operation in the gas well data display area, displaying gas well data of the target offshore gas well in the gas well data display area, the gas well data including geological feature data and engineering feature data; in response to a prediction triggering operation in the operation control area, analyzing the gas well data of the target offshore gas well based on at least one pre-trained productivity prediction model to obtain productivity efficiency data of the target offshore gas well, the productivity efficiency data including a predicted meter gas production index; and the productivity efficiency data of the target offshore gas well is displayed in the result display area, so that accurate prediction and visual processing of the productivity efficiency data of the offshore gas well are realized, and the interpretability of the data is improved.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, and in particular to a method, apparatus, electronic device, and storage medium for predicting the production capacity of offshore gas wells. Background Technology

[0002] The production capacity prediction of offshore gas wells is of great significance for the exploration and development of offshore gas wells.

[0003] In existing technologies, numerical simulation is used to process geological characteristic data of offshore gas wells to predict their production capacity. However, due to the complexity and long processing time of numerical simulation, the prediction results cannot be displayed intuitively, resulting in poor interpretability of the predicted production capacity of offshore gas wells. Summary of the Invention

[0004] This invention provides a method, apparatus, electronic device, and storage medium for predicting the production capacity of offshore gas wells, so as to achieve accurate prediction of offshore gas well production capacity and improve the interpretability of offshore gas well production capacity prediction.

[0005] According to one aspect of the present invention, a method for predicting the production capacity of offshore gas wells is provided, comprising:

[0006] The production capacity forecast page includes a gas well data display area, an operation control area, and a results display area.

[0007] In response to data configuration operations in the gas well data display area, the gas well data of the target offshore gas well is displayed in the gas well data display area. The gas well data includes geological feature data and engineering feature data.

[0008] In response to a predicted triggering operation in the operation control area, the gas well data of the target offshore gas well is analyzed based on at least one pre-trained production capacity prediction model to obtain the production capacity efficiency data of the target offshore gas well, which includes the predicted gas production index.

[0009] The production efficiency data of the target offshore gas well is displayed in the results display area.

[0010] According to another aspect of the present invention, a production capacity prediction device for offshore gas wells is provided, comprising:

[0011] The capacity forecast page display module is used to display the capacity forecast page, which includes a gas well data display area, an operation control area, and a results display area.

[0012] The gas well data display module is used to respond to data configuration operations in the gas well data display area and display the gas well data of the target offshore gas well in the gas well data display area. The gas well data includes geological feature data and engineering feature data.

[0013] The production efficiency data determination module is used to respond to the predicted triggering operation in the operation control area, and analyze the gas well data of the target offshore gas well based on at least one pre-trained production prediction model to obtain the production efficiency data of the target offshore gas well, which includes the predicted gas production index.

[0014] The production efficiency data display module is used to display the production efficiency data of the target offshore gas well in the results display area.

[0015] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0016] At least one processor; and

[0017] A memory that is communicatively connected to at least one processor; wherein,

[0018] The memory stores a computer program that can be executed by at least one processor, such that the at least one processor is able to execute the offshore gas well production prediction method provided in any embodiment of the present invention.

[0019] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions for causing a processor to execute and implement the offshore gas well production prediction method provided in any embodiment of the present invention.

[0020] The technical solution of this invention provides visualization support for subsequent analysis and processing by displaying a production capacity prediction page, which includes a gas well data display area, an operation control area, and a result display area, facilitating user operations. In response to data configuration operations in the gas well data display area, the gas well data of the target offshore gas well is displayed, including geological and engineering characteristic data, thus visually representing the number of gas wells and reducing user difficulty. In response to prediction trigger operations in the operation control area, the gas well data of the target offshore gas well is analyzed based on at least one pre-trained production capacity prediction model to obtain the production capacity efficiency data, including the predicted meter gas production index, achieving accurate determination of the production capacity efficiency data and improving processing efficiency. Displaying the production capacity efficiency data of the target offshore gas well in the result display area visualizes the data, solving the problem of poor interpretability in existing offshore gas well production capacity prediction results, reducing the difficulty of data understanding, and enabling users to intuitively understand the production capacity efficiency data, thus improving its interpretability.

[0021] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0022] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0023] Figure 1 This is a flowchart of a method for predicting the production capacity of an offshore gas well, provided in Embodiment 1 of the present invention;

[0024] Figure 2 This is a schematic diagram of a gas well data display area provided in an embodiment of the present invention;

[0025] Figure 3 This is a schematic diagram of an operation control area provided in an embodiment of the present invention;

[0026] Figure 4 This is a schematic diagram of a predictive analysis region provided in an embodiment of the present invention;

[0027] Figure 5 This is a flowchart of a method for predicting the production capacity of an offshore gas well, provided in Embodiment 2 of the present invention;

[0028] Figure 6 This is a schematic diagram of a model training area provided in an embodiment of the present invention;

[0029] Figure 7 This is a schematic diagram of a data simulation area provided in an embodiment of the present invention;

[0030] Figure 8 This is a schematic diagram of the structure of a production capacity prediction device for offshore gas wells provided in Embodiment 3 of the present invention;

[0031] Figure 9 This is a schematic diagram of the structure of an electronic device provided in Embodiment 4 of the present invention. Detailed Implementation

[0032] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0033] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0034] Example 1

[0035] Figure 1 This is a flowchart of a method for predicting the production capacity of offshore gas wells according to Embodiment 1 of the present invention. This embodiment is applicable to situations where production capacity prediction is performed on offshore gas wells. The method can be executed by an offshore gas well production capacity prediction device, which can be implemented in hardware and / or software. This device can be configured in an electronic device provided in this embodiment, such as a server, computer, or mobile terminal, for example, a mobile terminal could be a mobile phone, tablet computer, etc. Figure 1 As shown, the method specifically includes the following steps:

[0036] S110. Display the production capacity forecast page, which includes a gas well data display area, an operation control area, and a results display area.

[0037] This invention is applicable to the production capacity prediction of offshore gas wells. The production capacity prediction page is an interactive interface for predicting the production capacity of offshore gas wells. The production capacity prediction page includes a gas well data display area, an operation control area, and a result display area. The gas well data display area is a module that structurally displays the gas well data of the offshore gas well. The result display area is a module that visually presents the production capacity prediction of the offshore gas well. Users can visualize the production capacity prediction page through operations within the target application's interactive interface. For example, the target application's interactive interface may include a production capacity prediction page display control. Users can click or press the production capacity prediction page display control, which triggers the production capacity prediction page display logic, displaying the production capacity prediction page in the target application's interactive interface.

[0038] Specifically, by clicking the control on the capacity forecast page, the control triggers the capacity forecast page display logic, displaying the capacity forecast page in the target application's interactive interface. This provides visual support for subsequent analysis and processing, facilitating users' subsequent operations.

[0039] S120, In response to a data configuration operation in the gas well data display area, display the gas well data of the target offshore gas well in the gas well data display area. The gas well data includes geological feature data and engineering feature data.

[0040] The target offshore gas wells are those for which production capacity forecasting is required. Gas well data refers to data affecting the production capacity of offshore gas wells. Gas well data can be obtained from a database. For example, the unique identifier of the target offshore gas well can be used to match data in a gas well database to obtain the target offshore gas well's data, which can then be stored in a preset location. The gas well database can store gas well data from different offshore gas wells.

[0041] Gas well data includes geological and engineering characteristic data. Geological characteristic data characterizes the geological conditions and fluid physics of the reservoir where the offshore gas well is located. Optionally, geological characteristic data includes porosity, permeability, saturation, skin factor, intermediate depth of the test layer, sonic transit time, density, and volume factor. Porosity characterizes the percentage of pore volume to rock volume in the formation where the target offshore gas well is located. Permeability characterizes the ease with which fluids pass through pores in the formation where the target offshore gas well is located. Saturation characterizes the percentage of oil, gas, and water by volume in the pores of the formation where the target offshore gas well is located. Skin factor characterizes the degree of contamination of the wellbore in the formation due to production. Intermediate depth of the test layer characterizes the vertical depth corresponding to the center of the formation where the target offshore gas well is located. Sonic transit time characterizes the time required for sound waves to travel a unit distance in the rock of the formation where the target offshore gas well is located. Density characterizes the weight per unit volume of rock in the formation where the target offshore gas well is located. The volume factor is used to characterize the ratio of the volume ratio of oil and gas of the same weight under the corresponding underground conditions of the target offshore gas well to the volume ratio of the same weight of oil and gas under standard conditions. Engineering characteristic data are the operating parameters characterizing the offshore gas well during construction and production. Optionally, engineering characteristic data include nozzle size, perforating gun type, perforating projectile type, explosive type, per-hole ammunition quantity, perforation density, and perforation diameter. The nozzle size refers to the size of the throttling device installed at the wellhead of the target offshore gas well. The perforating gun type characterizes the outer diameter, pressure bearing capacity, and operating mode of the perforating gun during the construction of the target offshore gas well. The perforating projectile type characterizes the geometric structure of the perforating projectile during the construction of the target offshore gas well. The explosive type characterizes the type and formulation of the explosive in the perforating projectile during the construction of the target offshore gas well. The per-hole ammunition quantity characterizes the charge weight of the per-hole projectile during the construction of the target offshore gas well. The perforation density characterizes the number of perforations per unit length during the construction of the target offshore gas well. Perforation diameter is used to characterize the diameter of the perforation hole during the construction of a target offshore gas well.

[0042] The gas well data display area may include a data loading control. When the user clicks or presses the data loading control, the data loading control triggers the data configuration logic. The data loading control imports the gas well data of the target offshore gas well into the target application according to the preset path and displays the gas well data of the target offshore gas well in the gas well data display area.

[0043] Specifically, when a user clicks or presses the data loading control, the data loading control triggers the data configuration logic. The data loading control imports the gas well data of the target offshore gas well into the target application according to the preset path, and displays the gas well data of the target offshore gas well in the gas well data display area, realizing the visualization of the number of gas wells of the target offshore gas well and reducing the difficulty of operation for users.

[0044] For example, see Figure 2 , Figure 2 This is a schematic diagram of a gas well data display area provided in an embodiment of the present invention. The gas well data display area includes a data loading control. When the user clicks the data loading control, the data loading control triggers data configuration logic to import the gas well data of the target offshore gas well into the target application and display the gas well data of the target offshore gas well in the gas well data display area. The offshore gas well data includes geological feature data and engineering feature data.

[0045] S130, in response to a predicted trigger operation in the operation control area, analyze the gas well data of the target offshore gas well based on at least one pre-trained production capacity prediction model to obtain the production capacity efficiency data of the target offshore gas well, the production capacity efficiency data including the predicted gas production index.

[0046] The production capacity prediction model is used to predict the production capacity of the target offshore gas well. This model includes, but is not limited to, machine learning models such as random forest, gradient boosting, multilayer perceptron, and k-nearest neighbor models. The choice of model is based on requirements and is not limited in this invention. Production efficiency data characterizes the production efficiency of the target offshore gas well. This data includes the predicted gas production per unit thickness index (MPI). The MPI is the output of the production capacity prediction model. Under the given gas well data, the MPI represents the daily gas production of the target offshore gas well per unit thickness of the gas layer. The operation control area may include a production capacity prediction control. When a user clicks or presses the production capacity prediction control, the control triggers prediction logic, calling at least one production capacity prediction model to analyze the gas well data of the target offshore gas well and obtain the MPI.

[0047] Specifically, when a user clicks or presses the production capacity prediction control, the control triggers prediction logic, which calls at least one production capacity prediction model to analyze the gas well data of the target offshore gas well, and obtains the predicted gas production index of the target offshore gas well. This achieves accurate determination of the production capacity efficiency data of the target offshore gas well and improves the processing efficiency of the production capacity efficiency data of the target offshore gas well.

[0048] S140. Display the production efficiency data of the target offshore gas well in the results display area.

[0049] The results display area may include a results display control. When a user clicks or presses the results display control, the control triggers the results display logic, displaying the production efficiency data of the target offshore gas well in the results display area. This visualizes the production efficiency data, reduces the difficulty of data understanding, and allows users to intuitively understand the production efficiency data.

[0050] Based on the above embodiments, the operation control area may further include a gas well data input control, used to display the gas well data of the target offshore gas well in response to the user's gas well data input operation. For example, the user can input the corresponding gas well data through an input device, including but not limited to a physical keyboard, virtual keyboard, and mouse. As another example, the user can select the corresponding numerical information of the gas well data through a drop-down menu to input the gas well data.

[0051] For example, see Figure 3 , Figure 3 This is a schematic diagram of an operation control area provided in an embodiment of the present invention. The operation control area includes a gas well data input control, a production capacity prediction control, and a result display control. 0.079 represents the numerical information corresponding to the predicted gas production index. Users can conveniently input gas well data by selecting the corresponding numerical information from a drop-down menu, reducing the difficulty of operation. By clicking the result display control, users can display the production capacity efficiency data of the target offshore gas well in the result display area. This operation control area can simultaneously display gas well data and production capacity efficiency data, facilitating user understanding.

[0052] Optionally, the results display area may also include a predictive analysis area; after displaying the production efficiency data of the target offshore gas well in the results display area, the production capacity prediction method for the offshore gas well may further include: in response to the predictive analysis operation in the operation control area, comparing the production efficiency data of at least one production capacity prediction model to obtain the comparison results; and displaying the comparison results in the predictive analysis area.

[0053] The comparison results are used to characterize the differences in capacity efficiency data predictions among different capacity forecasting models. The prediction analysis area is a module used to display the differences in capacity efficiency data from different capacity forecasting models. The operation control area may also include a comparison result display control. Users can click or press the comparison result display control to trigger the comparison result display logic, comparing the capacity efficiency data of different capacity forecasting models and displaying the comparison results in the prediction analysis area. This achieves a visual comparison of the capacity efficiency data of different capacity forecasting models, which is beneficial for users to adjust the model parameters of the capacity forecasting models, thereby improving the accuracy of the capacity forecasting models.

[0054] For example, see Figure 4 , Figure 4This is a schematic diagram of a predictive analysis region provided in an embodiment of the present invention. The predictive analysis region includes a comparison result display control, which visualizes the capacity efficiency data of multiple capacity prediction models. These models include a random forest model, a gradient boosting model, a multilayer perceptron model, and a k-nearest neighbor model. The capacity efficiency data corresponding to the random forest model is 0.0788, the gradient boosting model is 0.0809, the multilayer perceptron model is 0.0737, and the k-nearest neighbor model is 0.0758.

[0055] Optionally, the operation control area also includes a data input area; after displaying the production efficiency data of the target offshore gas well in the results display area, the offshore gas well production prediction method further includes: in response to a data input operation in the data input area, displaying the development data of the target offshore gas well in the data input area; in response to a prediction trigger operation in the data input area, analyzing the development data of the target offshore gas well to obtain the predicted production data of the target offshore gas well; and displaying the predicted production data of the target offshore gas well in the results display area.

[0056] The development data is used to characterize the production parameters of the target offshore gas well during the production process. Development data includes, but is not limited to, effective thickness, production pressure differential, and gas-oil ratio. Effective thickness characterizes the gas storage capacity of the formation where the target offshore gas well is located, and the formation thickness from which fluids can effectively permeate. Production pressure differential characterizes the difference between the original formation pressure and the bottom-hole flowing pressure corresponding to the target offshore gas well during the production process. The gas-oil ratio characterizes the ratio of the natural gas production to the crude oil production already produced by the target offshore gas well. The data input area is for inputting the production parameters of the target offshore gas well during the production process. Users can input the development data of the target offshore gas well in the data input area using input devices, including but not limited to physical keyboards, virtual keyboards, and mice. Predictive production data is used to characterize the future production status of the target offshore gas well. Predictive production data includes, but is not limited to, daily natural gas production and daily crude oil production. The data input area may also include production data prediction controls, which users can click or press to perform operations. When a user clicks the production data prediction control, the production data prediction control triggers the production data prediction logic, which calls the production data determination model to analyze the development data and obtain the predicted production data of the target offshore gas well. The production data determination model includes, but is not limited to, neural network models and mathematical models.

[0057] Specifically, when a user clicks the production data prediction control, the control triggers the production data prediction logic, which calls the production data determination model to analyze the development data, obtains the predicted production data of the target offshore gas well, and displays the predicted production data of the target offshore gas well in the results display area. This achieves accurate determination and visualization of the daily natural gas production and daily crude oil production of the target offshore gas well, which helps reduce the difficulty of understanding for users and provides accurate data support for subsequent decision-making.

[0058] For example, the formula for calculating daily natural gas production is as follows:

[0059] Daily natural gas production = predicted gas extraction index × production pressure differential × finite thickness;

[0060] The formula for calculating daily crude oil production is as follows:

[0061] .

[0062] The technical solution of this embodiment, by displaying a production capacity prediction page, which includes a gas well data display area, an operation control area, and a result display area, provides visual support for subsequent analysis and processing, facilitating user operations. In response to data configuration operations in the gas well data display area, the gas well data of the target offshore gas well is displayed, including geological and engineering characteristic data, achieving a visual representation of the number of target offshore gas wells and reducing the difficulty of user operation. In response to prediction trigger operations in the operation control area, the gas well data of the target offshore gas well is analyzed based on at least one pre-trained production capacity prediction model to obtain the production capacity efficiency data of the target offshore gas well. The production capacity efficiency data includes the predicted meter gas production index, achieving accurate determination of the production capacity efficiency data of the target offshore gas well and improving the processing efficiency of the production capacity efficiency data. Displaying the production capacity efficiency data of the target offshore gas well in the result display area achieves a visual representation of the production capacity efficiency data, reducing the difficulty of data understanding and enabling users to intuitively understand the production capacity efficiency data, thus improving the interpretability of the production capacity efficiency data.

[0063] Example 2

[0064] Figure 5 This is a flowchart of a method for predicting the production capacity of offshore gas wells according to Embodiment 2 of the present invention. This embodiment is a refinement of the above embodiments. Based on the aforementioned embodiments, it provides a detailed explanation of the simulation of gas well data after displaying the production efficiency data of the target offshore gas well in the results display area. For specific implementation methods, please refer to the technical solution of this embodiment. Technical terms that are the same as or corresponding to those in the above embodiments will not be repeated here. Figure 5 As shown, the method specifically includes the following steps:

[0065] S210. Display the production capacity forecast page, which includes a gas well data display area, an operation control area, and a results display area.

[0066] S220, In response to a data configuration operation in the gas well data display area, display the gas well data of the target offshore gas well in the gas well data display area, including geological feature data and engineering feature data.

[0067] S230, in response to a predicted triggering operation in the operation control area, analyze the gas well data of the target offshore gas well based on at least one pre-trained production capacity prediction model to obtain the production capacity efficiency data of the target offshore gas well, the production capacity efficiency data including the predicted gas production index.

[0068] Optionally, the production capacity prediction page also includes a model training area, which includes a training control area and a model performance display area. The production capacity prediction method for offshore gas wells further includes: training at least one production capacity prediction model. The training process of at least one production capacity prediction model is as follows: in response to the page switching operation of the model training area on the production capacity prediction page, the model training area is displayed; in response to the model selection operation in the training control area, at least one model to be trained is determined; in response to the training trigger operation in the training control area, at least one model to be trained is trained based on the training sample set to obtain the training results corresponding to at least one model to be trained; and the training results corresponding to at least one model to be trained are displayed in the model performance display area.

[0069] The model training area is used to train at least one capacity prediction model. The capacity prediction page may also include a page switching control corresponding to the model training area, used to switch the capacity prediction page to the model training area. Users can click or press the page switching control in the model training area to switch the capacity prediction page to the model training area. The model training area includes a training control area and a model performance display area. The training control area is used to control the capacity prediction model to be trained. The training control area may include a model selection control, used to select the capacity prediction model to be trained. Users can click the model selection control in the training control area to select the capacity prediction model to be trained. Users can select one capacity prediction model to be trained, or multiple capacity prediction models to be trained. The training control area may also include a training start control, used to control the start of training for the capacity prediction model to be trained. For example, when the user clicks the training start control, training of the capacity prediction model to be trained begins. The model performance display area is used to display the training effect of the capacity prediction model to be trained. The model training area may also include a model performance display control. Users can click or press the model performance display control to showcase the prediction performance of the capacity prediction model under training. The training results characterize the prediction performance of the capacity prediction model. The training results may include preset evaluation metrics, including but not limited to Mean Squared Error (MSE), Mean Absolute Error (MAE), and Coefficient of Determination (R²). 2 .

[0070] Specifically, on the capacity forecasting page, users can click the page switching control in the model training area to switch to the model training area, which is then displayed. Clicking the "Select Model" control identifies the capacity forecasting model to be trained. Clicking the "Start Training" control begins training the model using the training sample set until training is complete, yielding the training results for each model. Finally, clicking the "Model Performance Display" control shows the training results of the selected capacity forecasting model. This process allows for controlled and visual comparison of model training, providing accurate data support for determining the appropriate capacity forecasting model.

[0071] For example, see Figure 6 , Figure 6This is a schematic diagram of a model training area provided in an embodiment of the present invention. The model training area includes a training control area and a model performance display area. The training control area includes a model selection control and a start training control. The model performance display area is used to display the training results corresponding to the production capacity prediction model, which includes a random forest model, a gradient boosting model, a multilayer perceptron model, and a k-nearest neighbor model. The training results include the coefficient of determination R. 2 Mean absolute error (MAE) and mean square error (MSE).

[0072] Optionally, the model training area also includes a data comparison area; before training at least one model to be trained based on the obtained training sample set, the offshore gas well production capacity prediction method further includes: displaying the data comparison area in response to a switching operation of the data comparison area in the model training area; performing data augmentation on the training sample set in response to a data augmentation operation in the data comparison area to obtain an augmented training sample set; and displaying the augmented training sample set in the data comparison area.

[0073] The data comparison area is used to display the augmented training sample set. The model training area may also include a data comparison control, which users can click or press to switch to and view the data comparison area. The data comparison area may include a data augmentation control for performing data augmentation operations on the training sample set. When a user clicks the data augmentation control in the data comparison area, the control triggers the data augmentation logic, invoking a data augmentation method to perform the data augmentation operation on the training sample set, resulting in an augmented training sample set. Data augmentation methods include, but are not limited to, the Synthetic Minority Oversampling Technique (SMOTE). The data comparison area may also include an augmentation display control, which users can click or press to display the augmented training sample set in the data comparison area.

[0074] Specifically, users click or press the data comparison control to switch to the data comparison area, which is then displayed. Within the data comparison area, users click the data augmentation control, which triggers the data augmentation logic, calling the data augmentation method to perform data augmentation on the training sample set, resulting in an augmented training sample set. Users then click or press the data comparison area to display the augmented training sample set. This process achieves both data augmentation of the training sample set and visualization of the augmented training sample set, facilitating user interpretation and enhancing its interpretability.

[0075] S240. Display the production efficiency data of the target offshore gas well in the results display area.

[0076] S250, the capacity forecast page also includes multiple area switching controls corresponding to different areas; the capacity forecast page also includes a data simulation area, which includes a parameter setting area and a simulation result display area; in response to the switching operation of the area switching control corresponding to the data simulation area in the capacity forecast area, the data simulation area is displayed; in response to the numerical range setting operation of the simulation data in the parameter setting area, the numerical range of at least one parameter is set to obtain the numerical range of at least one parameter; in response to the running simulation operation in the parameter setting area, the numerical range of at least one parameter is simulated to obtain the simulation result of at least one parameter; the simulation result is displayed in the simulation result display area.

[0077] The area switching control on the production capacity forecast page is used to switch to the corresponding area. For example, on the production capacity forecast page, the gas well data display area corresponds to the gas well data display area switching control, and the results display area corresponds to the gas well results display area switching control. The production capacity forecast page also includes a data simulation area. The data simulation area is the area where simulated data is generated. The production capacity forecast page may also include a data simulation area switching control. Users can click or press the data simulation area switching control to switch to the data simulation area, where the data simulation area will be displayed.

[0078] The data simulation area includes a parameter setting area and a simulation result display area. The parameter setting area is used to set the numerical range of the simulation data, which includes simulated gas well data and simulated development data. Simulated gas well data includes simulated geological feature data and simulated engineering feature data. Simulated geological feature data includes porosity, permeability, saturation, skin coefficient, intermediate depth of the test layer, sonic transit time, density, and volume coefficient. Simulated engineering feature data includes nozzle size, perforating gun type, perforating projectile type, explosive type, single-hole ammunition quantity, perforation density, and perforation diameter. Simulated development data includes effective thickness, production pressure differential, and gas-oil ratio. The parameter setting area can include one parameter from the simulation data, or it can include multiple parameters from the simulation data, for example, four parameters from the simulation data. The number of simulation data is selected according to needs, and this invention is not limited. For example, when the parameter setting area simulates four parameters of the simulation data, the four parameters can be permeability, porosity, production pressure differential, and effective thickness. Users can input the range of values ​​for the simulation data to be simulated in the parameter setting area using input devices, including but not limited to physical keyboards, virtual keyboards, and mice.

[0079] By simulating the simulated data, simulation results can be obtained. These results characterize the correlation between the simulated data and the simulated gas production index (MPI). The MPI characterizes the daily gas production of a target offshore gas well per unit thickness of gas layer under the simulated data conditions. The simulation results display area is used to show the correlation between the simulated data and the MPI. The simulation results may include the correlation between one parameter in the simulated data and the MPI, or they may include the correlation between multiple parameters in the simulated data and the MPI. The choice of simulation results is not limited in this invention. Optionally, the simulation results may be in the form of images, including but not limited to images. The parameter setting area may also include a simulation run control. After obtaining the numerical range of at least one parameter, the user can click or press the simulation run control to simulate the numerical range of at least one parameter, obtain the simulation results, and display the simulation results in the data simulation area.

[0080] Specifically, users click the data simulation area switching control to display the data simulation area; users input the numerical range of the simulation data to be simulated in the simulation data setting area using the physical keyboard to obtain the numerical range of at least one parameter; users click the run simulation control to simulate the numerical range of at least one parameter, obtain the simulation results, and display the simulation results in the data simulation area. This realizes the data simulation of the target offshore gas well, reduces the user's operational difficulty, and provides a basis for subsequent decision-making.

[0081] For example, see Figure 7 , Figure 7 This is a schematic diagram of a data simulation area provided in an embodiment of the present invention. The data simulation area includes a parameter setting area and a simulation result display area. The parameter setting area includes setting areas for four parameters and simulation control controls. The four parameters are permeability, porosity, production pressure difference, and effective thickness.

[0082] The technical solution of this embodiment, by displaying a production capacity prediction page, including a gas well data display area, an operation control area, and a result display area, provides visual support for subsequent analysis and processing, facilitating user operations. In response to data configuration operations in the gas well data display area, the gas well data of the target offshore gas well is displayed, including geological and engineering characteristic data, achieving a visual display of the number of target offshore gas wells and reducing the difficulty of user operation. In response to prediction trigger operations in the operation control area, the gas well data of the target offshore gas well is analyzed based on at least one pre-trained production capacity prediction model to obtain the production capacity efficiency data of the target offshore gas well. The production capacity efficiency data includes the predicted meter gas production index, achieving accurate and precise production capacity efficiency data for the target offshore gas well. This system improves the processing efficiency of target offshore gas well production efficiency data; it displays the production efficiency data of target offshore gas wells in the results display area, realizing the visualization of production efficiency data; it displays the data simulation area in response to the switching operation of the area switching control corresponding to the data simulation area in the production prediction area; it displays the data simulation area in response to the numerical range setting operation of the simulated gas well data in the parameter setting area, sets the numerical range of at least one parameter, and obtains the numerical range of at least one parameter in response to the running simulation operation in the parameter setting area, simulating the numerical range of at least one parameter, obtaining the simulation result of at least one parameter, and displaying the simulation result in the simulation result display area. This realizes the data simulation and visualization of target offshore gas wells, reduces the difficulty of operation and data understanding for users, and provides a basis for subsequent decision-making.

[0083] Example 3

[0084] Figure 8 This is a schematic diagram of the structure of a production capacity prediction device for offshore gas wells provided in Embodiment 3 of the present invention. Figure 8 As shown, the device includes a production capacity prediction page display module 310, a gas well data display module 320, a production capacity efficiency data determination module 330, and a production capacity efficiency data display module 340.

[0085] The system includes three modules: a production capacity prediction page display module 310, which displays the production capacity prediction page, including a gas well data display area, an operation control area, and a result display area; a gas well data display module 320, which displays the gas well data of the target offshore gas well in response to a data configuration operation in the gas well data display area, including geological feature data and engineering feature data; a production capacity efficiency data determination module 330, which analyzes the gas well data of the target offshore gas well based on at least one pre-trained production capacity prediction model in response to a prediction trigger operation in the operation control area, and obtains the production capacity efficiency data of the target offshore gas well, including the predicted gas production index; and a production capacity efficiency data display module 340, which displays the production capacity efficiency data of the target offshore gas well in the result display area.

[0086] The technical solution of this embodiment, through a production capacity prediction page display module, displays a production capacity prediction page. This page includes a gas well data display area, an operation control area, and a result display area, providing visual support for subsequent analysis and processing, facilitating user operations. The gas well data display module, in response to data configuration operations within the gas well data display area, displays the gas well data of the target offshore gas well. This gas well data includes geological and engineering characteristic data, achieving a visual display of the number of target offshore gas wells and reducing the difficulty of user operation. The production capacity efficiency data determination module, in response to operations... The system performs predictive triggering operations in the control area, analyzes the well data of the target offshore gas well based on at least one pre-trained production capacity prediction model, and obtains the production capacity efficiency data of the target offshore gas well. The production capacity efficiency data includes the predicted gas production index, which realizes the accurate determination of the production capacity efficiency data of the target offshore gas well and improves the processing efficiency of the production capacity efficiency data of the target offshore gas well. Through the production capacity efficiency data display module, the production capacity efficiency data of the target offshore gas well is displayed in the results display area, realizing the visualization of the production capacity efficiency data, reducing the difficulty of data understanding, enabling users to intuitively understand the production capacity efficiency data, and improving the interpretability of the production capacity efficiency data.

[0087] Based on the above embodiments, optionally, the geological feature data includes porosity, permeability, saturation, skin coefficient, intermediate depth of the test layer, sonic transit time, density, and volume coefficient.

[0088] Optional engineering feature data include nozzle size, perforating gun type, perforating ammunition type, explosive type, ammunition quantity per perforation, perforation density, and perforation diameter.

[0089] Optionally, the results display area also includes a predictive analysis area; the offshore gas well production capacity prediction device also includes a comparison result display module, used to: after displaying the production capacity efficiency data of the target offshore gas well in the results display area, in response to the predictive analysis operation in the operation control area, compare the production capacity efficiency data of at least one production capacity prediction model to obtain the comparison result; and display the comparison result in the predictive analysis area.

[0090] Optionally, the production capacity prediction page also includes area switching controls corresponding to multiple areas; the production capacity prediction page also includes a data simulation area, which includes a parameter setting area and a simulation result display area; the offshore gas well production capacity prediction device also includes a simulation result display module, used to: after displaying the production capacity efficiency data of the target offshore gas well in the result display area, in response to the switching operation of the area switching control corresponding to the data simulation area in the production capacity prediction area, display the data simulation area; in response to the numerical range setting operation of the simulation data in the parameter setting area, set the numerical range of at least one parameter to obtain the numerical range of at least one parameter; in response to the running simulation operation in the parameter setting area, simulate the numerical range of at least one parameter to obtain the simulation result of at least one parameter; and display the simulation result in the simulation result display area.

[0091] Optionally, the production capacity prediction page also includes a model training area, which includes a training control area and a model performance display area. The production capacity prediction device for offshore gas wells also includes a model training module for training at least one production capacity prediction model: in response to a page switching operation of the model training area on the production capacity prediction page, the model training area is displayed; in response to a model selection operation in the training control area, at least one model to be trained is determined; in response to a training trigger operation in the training control area, at least one model to be trained is trained based on a training sample set to obtain training results corresponding to at least one model to be trained; and the training results corresponding to at least one model to be trained are displayed in the model performance display area.

[0092] Optionally, the model training area also includes a data comparison area; the model training module is further configured to: display the data comparison area in response to a switching operation of the data comparison area in the model training area before training at least one model to be trained based on the obtained training sample set; perform data augmentation on the training sample set in response to a data augmentation operation in the data comparison area to obtain an augmented training sample set; and display the augmented training sample set in the data comparison area.

[0093] Optionally, the operation control area also includes a data input area; the offshore gas well production capacity prediction device also includes a predicted production data determination module, used for: after displaying the production capacity efficiency data of the target offshore gas well in the result display area, in response to the data input operation in the data input area, displaying the development data of the target offshore gas well in the data input area; in response to the prediction trigger operation in the data input area, analyzing the development data of the target offshore gas well to obtain the predicted production data of the target offshore gas well; and displaying the predicted production data of the target offshore gas well in the result display area.

[0094] The offshore gas well production capacity prediction device provided in this embodiment of the invention can execute the offshore gas well production capacity prediction method provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the method.

[0095] Example 4

[0096] Figure 9 This is a schematic diagram of the structure of an electronic device provided in Embodiment 4 of the present invention. The electronic device 10 is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (such as helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0097] like Figure 9 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 may also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0098] Multiple components in electronic device 10 are connected to input / output (I / O) interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of monitors, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0099] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, central processing unit (CPU), graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as a method for predicting the production capacity of an offshore gas well.

[0100] In some embodiments, a method for predicting the production capacity of an offshore gas well can be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program can be loaded into and / or installed on electronic device 10 via read-only memory (ROM) 12 and / or communication unit 19. When the computer program is loaded into random access memory (RAM) 13 and executed by processor 11, one or more steps of the method for predicting the production capacity of an offshore gas well described above can be performed. Alternatively, in other embodiments, processor 11 can be configured to perform a method for predicting the production capacity of an offshore gas well by any other suitable means (e.g., by means of firmware).

[0101] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), system-on-a-chip (SoCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transferring data and instructions to the storage system, the at least one input device, and the at least one output device.

[0102] A computer program for implementing a method for predicting the production capacity of an offshore gas well according to the present invention can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer program causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The computer program can be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0103] Example 5

[0104] Embodiment 5 of the present invention also provides a computer-readable storage medium storing computer instructions for causing a processor to execute a method for predicting the production capacity of an offshore gas well, the method comprising:

[0105] The system displays a production capacity prediction page, which includes a gas well data display area, an operation control area, and a results display area. In response to a data configuration operation in the gas well data display area, the system displays the gas well data of the target offshore gas well, including geological and engineering feature data. In response to a prediction trigger operation in the operation control area, the system analyzes the gas well data of the target offshore gas well based on at least one pre-trained production capacity prediction model to obtain the production capacity efficiency data of the target offshore gas well, including the predicted meter gas production index. The production capacity efficiency data of the target offshore gas well is then displayed in the results display area.

[0106] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0107] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0108] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or middleware components (e.g., application servers), or frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0109] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0110] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0111] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for predicting the production capacity of offshore gas wells, characterized in that, include: The production capacity forecast page includes a gas well data display area, an operation control area, and a results display area. In response to a data configuration operation in the gas well data display area, gas well data of a target offshore gas well is displayed in the gas well data display area, the gas well data including geological feature data and engineering feature data; In response to a predicted triggering operation in the operation control area, the gas well data of the target offshore gas well is analyzed based on at least one pre-trained production capacity prediction model to obtain production capacity efficiency data of the target offshore gas well, the production capacity efficiency data including the predicted gas production index. The production efficiency data of the target offshore gas well is displayed in the results display area.

2. The method according to claim 1, characterized in that, The geological feature data include porosity, permeability, saturation, skin coefficient, intermediate depth of the test layer, sonic transit time, density, and volume coefficient. The engineering characteristic data include nozzle size, perforating gun type, perforating projectile type, explosive type, amount of ammunition per single perforation, perforation density, and perforation diameter.

3. The method according to claim 1, characterized in that, The results display area also includes a predictive analysis area; After displaying the production efficiency data of the target offshore gas well in the results display area, the method further includes: In response to the predictive analysis operation in the operation control area, the capacity efficiency data of the at least one capacity prediction model are compared to obtain the comparison result; The comparison results are displayed in the predictive analysis area.

4. The method according to claim 1, characterized in that, The capacity forecast page also includes multiple area switching controls corresponding to different regions; the capacity forecast page also includes a data simulation area, which includes a parameter setting area and a simulation result display area. After displaying the production efficiency data of the target offshore gas well in the results display area, the method further includes: In response to a switching operation of the region switching control corresponding to the data simulation region in the capacity forecast region, the data simulation region is displayed; In response to a numerical range setting operation for simulated gas well data in the parameter setting area, a numerical range is set for at least one parameter to obtain the numerical range of the at least one parameter; In response to the simulation operation in the parameter setting area, the numerical range of the at least one parameter is simulated to obtain the simulation result of the at least one parameter; The simulation results are displayed in the simulation results display area.

5. The method according to claim 1, characterized in that, The capacity prediction page also includes a model training area, which includes a training control area and a model performance display area. The method further includes: training the at least one capacity prediction model; The training process for the at least one capacity prediction model is as follows: In response to a page switching operation on the capacity prediction page for the model training area, the model training area is displayed; In response to the model selection operation in the training control region, at least one model to be trained is determined; In response to a training trigger operation in the training control region, the at least one model to be trained is trained based on a training sample set to obtain training results corresponding to the at least one model to be trained. The training results corresponding to the at least one model to be trained are displayed in the model performance display area.

6. The method according to claim 5, characterized in that, The model training area also includes a data comparison area; Before training the at least one model to be trained based on the obtained training sample set, the method further includes: In response to a switching operation of the data comparison region in the model training region, the data comparison region is displayed; In response to a data augmentation operation in the data comparison area, the training sample set is augmented to obtain an augmented training sample set. The enhanced training sample set is displayed in the data comparison area.

7. The method according to claim 1, characterized in that, The operation control area also includes a data input area; After displaying the production efficiency data of the target offshore gas well in the results display area, the method further includes: In response to a data input operation in the data input area, the development data of the target offshore gas well is displayed in the data input area; In response to a prediction triggering operation in the data input area, the development data of the target offshore gas well is analyzed to obtain the predicted production data of the target offshore gas well. The predicted production data of the target offshore gas well is displayed in the results display area.

8. A method and apparatus for predicting the production capacity of offshore gas wells, characterized in that, include: The production capacity forecast page display module is used to display the production capacity forecast page, which includes a gas well data display area, an operation control area, and a result display area. The gas well data display module is used to display the gas well data of the target offshore gas well in the gas well data display area in response to the data configuration operation in the gas well data display area. The gas well data includes geological feature data and engineering feature data. A production efficiency data determination module is used to respond to a prediction-triggered operation in the operation control area, analyze the gas well data of the target offshore gas well based on at least one pre-trained production prediction model, and obtain the production efficiency data of the target offshore gas well, wherein the production efficiency data includes the predicted gas production index. The production efficiency data display module is used to display the production efficiency data of the target offshore gas well in the results display area.

9. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the offshore gas well production prediction method according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed by a processor, implement the offshore gas well production prediction method according to any one of claims 1-7.

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